Prepare for the Datadog Datadog Fundamentals (Datadog-Fundamentals) exam with verified practice questions and an online practice engine. Review the exam details below, then open the premium file page to choose PDF, Interactive Practice Test Software, or Bundle access.
Total Pool Questions
Minutes Allocation
Scored Core Items
Fully Updated Framework
The Datadog Fundamentals certification tests individuals’ fundamental knowledge about the Datadog ecosystem. It covers a broad range of topics, from Linux command line basics to metric visualization strategies. Certification earners know how to use Datadog effectively for common use cases, and are well equipped to learn more advanced topics specific to their roles.
Candidates should be entry-level Datadog users who understand Observability principles. They should be frequent users of Datadog’s core products and features.
The following is a list (non-exhaustive) of specific job tasks that earners will not be required to perform during this evaluation path:
| Evaluation Feature | Specification Target Details |
|---|---|
| Question Formulation Matrix | Multiple choice: Has one correct response and two or more incorrect responses (distractors). |
| Scored Evaluation Content | 75 Questions that will directly affect your final passing score. |
| Pre-Test (Unscored) Items | 15 pre-test questions included for psychometric evaluation (do not affect your score). |
| Language Delivery Tracks | English Korean Japanese Portuguese Spanish French |
A targeted certification user must prove solid foundations inside multiple computing and telemetry categories:
Comprehensive baseline familiarity with infrastructure building blocks including hardware assets like CPUs, RAM execution, and persistent Data storage structures.
Working knowledge of basic Linux operations, executing navigation scripts, and structural parsing within configuration scripts structured in YAML, JSON, or Python.
Clear comprehension of internet protocol layouts, tracking local IP addresses, and configuring common operational transport patterns including HTTP, TCP, and UDP layers.
Our materials accurately match all subdomains mapped out in the updated syllabus.
Config File Modification, Operating Systems administration benchmarks, Programming Languages mapping, Hardware Concepts, Shell controls, and Metadata management.
Agent Installation protocols, API Key provisioning architectures, Application Key generation rules, Running the Agent processes, and configuring distinct Agent Hostnames.
Managing firewalls through Datadog Ports, Whitelisting remote Datadog IP Addresses securely, and initializing automated multi-host Auto-discovery processes.
Custom metrics delivery with DogStatsD, cloud platform infrastructure Crawlers, configuration of unified Agent Integrations, API Endpoints, and Tagging Best Practices.
Mastering core terminal diagnostics using manual Agent Commands, analyzing system logs within Agent Logs repositories, and repairing broken Agent Config Files.
Managing Host Maps, optimizing analytics Dashboards, utilizing targeted Metrics/Tags query combinations, and managing system Monitors and Alerts metrics paths.
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